Challenges and opportunities of artificial intelligence in nursing education
Open accessAbstract
Artificial intelligence (AI) is revolutionizing various fields, including healthcare. In nursing education, AI presents both significant challenges and remarkable opportunities [1]. While AI has the potential to enhance learning experiences, improve educational outcomes, and prepare nurses for the future, it also poses challenges related to technology integration, ethical considerations, and the need for new skill sets. This article explores these challenges and opportunities, providing insights into how AI can transform nursing education.
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The current nursing education system may not be adequately preparing future nurses to navigate AI-integrated environments.
“Furthermore, the current nursing education system may not be adequately preparing future nurses to navigate the complexities of AI-integrated environments, necessitating curriculum reform and the development of AI literacy programs [11,12].”
From The Role of AI in Nursing Education and Practice: Umbrella Review (2025) · cites this paper as [11]
The adoption of AI in nursing raises critical ethical, social, and educational concerns.
“Despite these promising developments, the adoption of AI in nursing raises critical ethical, social, and educational concerns.”
From The Role of AI in Nursing Education and Practice: Umbrella Review (2025) · cites this paper as [11]
Cited by
Sorted by citations
The Role of AI in Nursing Education and Practice: Umbrella Review
El Arab, R. A., Al Moosa, O. A., Abuadas, F. H., & Somerville, J. (2025) · Journal of Medical Internet Research · doi:10.2196/69881 · Cited by 160 · see citing works
“Furthermore, the current nursing education system may not be adequately preparing future nurses to navigate the complexities of AI-integrated environments, necessitating curriculum reform and the development of AI literacy programs [11,12].”
El-Banna, M. M., Sajid, M. R., Rizvi, M. R., Sami, W., & McNelis, A. M. (2025) · Frontiers in Medicine · doi:10.3389/fmed.2025.1681784 · Cited by 62 · see citing works
- Authors
- School of Nursing, M. A. P., & Couper, A. L.
- Affiliations
- Curtin University (AU)
- Corresponding author
- Couper, Alannah L.
- Venue
- Journal of Nursing Reports in Clinical Practice
- Publisher
- Negah Scientific Publisher
- Published
- 2025-03-01
- Volume
- 3
- Issue
- 2
- Pages
- 213-215
- ISSN
- 2980-9711 (ISSN-L)
- OpenAlex
- W4403614683
- Cited by
- 8
- References
- 0
- Citations by year
- 2026: 3 · 2025: 5
- FWCI
- 0.76
- Type
- journal article
- Language
- en
- Open access
- diamond
- doi.org
- Licence
- cc-by-nc
- Locations
- Journal of Nursing Reports in Clinical Practice (publishedVersion, cc-by-nc)
- DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
- Topics
- Health Sciences › Medicine › Health Informatics › Artificial Intelligence in Healthcare and Education
- Physical Sciences › Computer Science › Information Systems › Artificial Intelligence in Education
- Health Sciences › Medicine › Public Health, Environmental and Occupational Health › Innovations in Medical Education
- Keywords
- artificial intelligence, nursing education, technology integration, ethical considerations, educational outcomes, future of nursing
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Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
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